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» Named Entity Recognition Using Web Document Corpus
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WEBI
2010
Springer
13 years 5 months ago
Boosting Biomedical Entity Extraction by Using Syntactic Patterns for Semantic Relation Discovery
Biomedical entity extraction from unstructured web documents is an important task that needs to be performed in order to discover knowledge in the veterinary medicine domain. In ge...
Svitlana Volkova, Doina Caragea, William H. Hsu, J...
LREC
2008
100views Education» more  LREC 2008»
13 years 9 months ago
Scaling Answer Type Detection to Large Hierarchies
This paper describes the creation of a state-of-the-art answer type detection system capable of recognizing more than 200 different expected answer types with greater than 85% pre...
Kirk Roberts, Andrew Hickl
IR
2010
13 years 4 months ago
FIDJI: using syntax for validating answers in multiple documents
This article presents FIDJI, a question-answering (QA) system for French. FIDJI combines syntactic information with traditional QA techniques such as named entity recognition and t...
Véronique Moriceau, Xavier Tannier
LREC
2010
177views Education» more  LREC 2010»
13 years 9 months ago
Automatic Discovery of Semantic Relations using MindNet
Information extraction deals with extracting entities (such as people,organizations or locations) and named relations between entities (such as "People born-in Country")...
Zareen Syed, Evelyne Viegas, Savas Parastatidis
TASLP
2010
169views more  TASLP 2010»
13 years 2 months ago
Integration of Statistical Models for Dictation of Document Translations in a Machine-Aided Human Translation Task
Abstract--This paper presents a model for machine aided human translation (MAHT) that integrates source language text and target language acoustic information to produce the text t...
Aarthi Reddy, Richard C. Rose